<html><head><title>Associate Data Scientist - Pleasanton, CA</title></head>
<body><h2>Associate Data Scientist - Pleasanton, CA</h2>
Join Our Team
We call ourselves Blumers. We work on really exciting stuff together, we eat and play together, and we help each other out (who woulda thought?!).
With 25 years in the business and a full rebranding and renaming of our company in September 2018, think of Blume Global as not your typical start-up. Think up-start.
The secret sauce? Our people.
We've got leaders—both women and men—with diverse backgrounds, college interns and lots of talented, smart people in between. We're a resourceful and scrappy bunch, currently at around 200 employees in 4 offices in the Bay Area, Boston, Chicago, and Hong Kong. And we have a well-established and growing customer and partnership base across the supply chain industry.

Some highlights of working at Blume Global are:

<li>Growth – professional development, company, and industry</li><li>Fun – free lunch Fridays, happy hours, office surprises and more</li><li>Humility – everyone leaves their egos at home</li><li>Innovation – We're working on some really cool stuff for the supply chain, whether it's AI, machine learning, IoT or blockchain</li>
About Blume Global
From the world's largest global retailers, manufacturers and consumer products companies to the smallest local drayage trucking companies, success depends on end-to-end visibility and orchestration of global supply chain networks across every move, every mode, and every mile. With its AI-enabled, data-driven digital platform and solutions for real-time visibility, logistics execution, asset management, optimization, and financial settlement, Blume Global leverages 25 years of data insights, its globally connected network and advanced technologies to help enterprises be more agile and responsive, improve service delivery and reduce costs. Learn more at blumeglobal.com.
As an Associate Data Scientist, you will join a high-performing, global team and assist with designing, developing the next generation of ML and AI-based supply chain platform. You will work closely with application architects to integrate data science algorithms into operational platforms using Hadoop and NoSQL architectures.
This is a newly created position due to growth and our mission to disrupt the market with new & innovative technology. Come make your mark & plant your seeds - - it's your time to BLUME!

Responsibilities:

<li>Develop data modeling, machine learning, and data visualization products to address customer needs</li><li>Responsible for designing, developing, and implementing ML models to be used in a production environment</li><li>Foster relationships with engineering and product management team members to identify important questions and recommending innovative solutions using data</li><li>Develop prototypes and execute experiments to evaluate the performance of ML/AI architectures/algorithms in large-scale industrial applications</li><li>Communicate project output in terms of customer value, business objectives, and product opportunity</li>
Skills and Qualifications:

<li>Ph.D. or Masters in Computer Science, Engineering, or Applied Mathematics, Operations Research, Applied Mathematics, Industrial Engineering or other related scientific disciplines</li><li>Research expertise in few of the following areas: computer vision, natural language processing, deterministic/ stochastic optimization</li><li>Expert knowledge of a scientific computing language (such as R or Python)</li><li>Experience with manipulating complex data sources and very large-scale data. Familiarity with technical tools for data analysis - Python (with Pandas, etc.), R, SQL</li><li>Experience with relational databases, distributed storage and computing tools (e.g. Hive, Spark)</li><li>Experience with few of the following tools: Natural Language Processing and Image Recognition using Keras/TensorFlow Deep Learning library, Streaming analytics (using Spark), Machine Learning (scikit-learn, Spark, h2o etc.)</li><li>Experience with Data Visualization Tools (Tableau, Plotly, Bokeh etc.)</li><li>This position is not eligible for sponsorship*</li>
</body>
</html>